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Let X1,...,Xn be an i.i.d. sample from a population with unknown mean μ and standard deviation σ. We take the sample mean = (X1 + ··· + Xn)/n as an estimate for μ.
(a) According to Chebyshev's inequality, how large should the sample size n be so that with probability 0.99 the error | - μ| is less than 2 standard deviations?
(b) According to the central limit theorem, how large should n be so that with probability 0.99 the error | - μ| is less than 2 standard deviations?
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